↓ Skip to main content

Pivot rules for linear programming: A survey on recent theoretical developments

Overview of attention for article published in Annals of Operations Research, March 1993
Altmetric Badge

Mentioned by

wikipedia
11 Wikipedia pages

Citations

dimensions_citation
87 Dimensions

Readers on

mendeley
37 Mendeley
citeulike
2 CiteULike
Title
Pivot rules for linear programming: A survey on recent theoretical developments
Published in
Annals of Operations Research, March 1993
DOI 10.1007/bf02096264
Authors

Tamás Terlaky, Shuzhong Zhang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 35%
Professor 4 11%
Professor > Associate Professor 4 11%
Student > Master 4 11%
Student > Postgraduate 3 8%
Other 5 14%
Unknown 4 11%
Readers by discipline Count As %
Mathematics 12 32%
Engineering 7 19%
Computer Science 6 16%
Business, Management and Accounting 6 16%
Unknown 6 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 January 2021.
All research outputs
#7,451,942
of 22,782,096 outputs
Outputs from Annals of Operations Research
#111
of 722 outputs
Outputs of similar age
#5,828
of 20,349 outputs
Outputs of similar age from Annals of Operations Research
#2
of 3 outputs
Altmetric has tracked 22,782,096 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 722 research outputs from this source. They receive a mean Attention Score of 2.9. This one has gotten more attention than average, scoring higher than 61% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 20,349 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.